The Autobiographical Character in Works by Janice Kulyk Keefer (From the Novel “The Green Library” to the Memoir Book “Honey and Ashes”)
Bibliographic record
Abstract
Modern society is in conditions of indeterminacy: there is a tendency to create an integrated social foundation, which would be free from racial or national prejudices and would give a powerful creative urge, – on the one hand, and on the other hand − such processes inevitably destroy the borders of national identity what causes the crisis of national identities. In this context it is very interesting to analyze works by the authors who are possessed of an ambivalent identity, what in fact inspires them to create transcultural texts with real events and historical facts assumed as the basis. That is why the article deals with the problem of autobiographical character of works by modern Canadian writer – Janice Kulyk Keefer. The study examines the correlation of the novel “The Green Library” and the memoir book “Honey and Ashes” due to the context of national identity’s crisis, which has keenly revealed in modern social globalization processes. The text of the novel is analyzed in terms of the identity’s research method. The study highlights as a result that Janice Kulyk Keefer deals with the problem of “The Old Place” history and her family roots because she is looking for an answer to the question “who am I?”, caused by the difficulty of national self-identification by the second and third immigrant generations. This article will be useful for those who are interested in modern Canadian women writing, in the problem of national identity and autobiographical character.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".